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Now with more custom examples. Manage your Kaggle notebook with the new and improved Notebook Control. Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources. Now with more custom examples. Manage your Kaggle notebook with the new and improved Notebook Control. In this guide, we will show you how to use the fantastic Kaggle Notebooks feature. (Read first) We will walk you through the following steps: Getting started In this step, you will have the opportunity to give feedback. Explore and run machine learning code This is a short description about this guide. How to import data from data sources Go to Step 2. Setting up a Kaggle Notebook Go to Step 3. Loading the Notebook Go to Step 4. Running the notebook locally Go to Step 5. Kaggle Notebooks for Developers Go to Step 6. Kaggle Notebooks for Non-Developers Go to Step 7. Kaggle Notebooks for Data Scientists Go to Step 8. Exporting the model Go to Step 9. Downloading the Model Get Started We would appreciate your feedback. Thanks for visiting this guide. You can also view this as a GitHub repo. If you have any problems, please ask for help on the Kaggle forum. If you want to report a bug, please create an issue on GitHub. Version History Version 0.0.0 – First release Version 0.1.0 – Updated to support all new features in Kaggle 1.2 (Docs: Imports, Credentials, Auth, API, Image Upload) – Updated to support all new features in Kaggle 1.2 (Docs: Imports, Credentials, Auth, API,

 

 

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